Lorem ipsum Nisi et ut culpa consequat pariatur consequat cillum et quis magna ea fugiat in do laborum.
Dark messaging for a more private conversation
Play with your own money.
A random article
the most complete namereg ever built
Award winning DNS registrar
Redistributing wealth, one wei at a time
Play with your own money.
A Decentralized Organization whith fully trackable expenses that are all up to vote
Create your own tradeable asset, currency or hour tracking
Lorem ipsum Nisi et ut culpa consequat pariatur consequat cillum et quis magna ea fugiat in do laborum.
Decentralized Exchange.
Someone else build that.


{% extends "base/base.html" %} {% block page_title %}Signup with Trello credencials{% endblock %} {% block content %}
Please, log in trello.com and visit https://trello.com/app-key. In that URL you will find your API key and your API secret (called OAuth secret).
You also need to use an authentication token as the same page explains how to do it. Visit the token link and follow the steps. Later you will have to fill the API token and API token secret.


--- layout: page title: About header-img: "img/about-bg.png" ---
I am a student at Flatiron School, this is where I'll get my software engineering diploma. I am very ambitious and just riding this wave of life with an antique surfboard from my ancestors from 1000 B.C. I work two jobs and my favorite color is black (even though some say it's not a color). I am a foodie in a sense but if you want to see restaurant reviews, you'll have to go to my other blog.


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java.lang.Object org.opensocial.Request
public class Request
OpenSocial data request; encapsulates all information required to execute a
request including RESTful URL template, RPC method name, and any parameters
required by the provider. Typically, Request objects aren't instantiated by
clients directly but are instead returned by service class methods. Requests
are executed by passing them into a Client
's send method.
| Field Summary | |
|---|---|
static java.lang.String |
ALBUM_ID
|
static java.lang.String |
APP_ID
|
static java.lang.String |
FRIEND_ID
|
static java.lang.String |
GROUP_ID
|
static java.lang.String |
GUID
|
static java.lang.String |
HISTORY
|
static java.lang.String |
ITEM_ID
|
static java.lang.String |
MOOD_ID
|
static java.lang.String |
SELECTOR
|
| Constructor Summary | |
|---|---|
Request(java.lang.String restUrlTemplate,
java.lang.String rpcMethod,
java.lang.String restMethod)
Creates and returns a new Request configured with the passed
RESTful URL template, RPC method name, and HTTP method. |
| Method Summary | ||
|---|---|---|
void |
addComponent(java.lang.String name,
java.lang.String value)
Sets the request component with the specified name to the specified value. |
|
void |
addParameter(java.lang.String name,
java.lang.String value)
Adds an extended request parameter, e.g. |
|
void |
addParameters(java.util.Map<java.lang.String,java.lang.String> parameters)
Adds extended request parameters for each name-value pair in the passed Map . |
|
void |
addRestPayloadParameter(java.lang.String name,
java.lang.Object value)
Adds a new parameter with the specified name and value to the set of parameters used by the Client to generate the JSON payload for a
REST request; this method should not be called by clients directly unless
custom requests are being executed. |
|
|
addRestPayloadParameters(T modelObject)
For each property in the passed model object, adds a new parameter to the set of parameters used by the Client to generate the JSON payload
for a REST request ; this method should not be called by clients directly
unless custom requests are being executed. |
|
void |
addRestQueryStringParameter(java.lang.String name,
java.lang.String value)
Adds a new parameter with the specified name and value to the set of parameters used by the Client to generate the query string that
gets appended to the RESTful URL; this method should not be called by
clients directly unless custom requests are being executed. |
|
void |
addRpcPayloadParameter(java.lang.String name,
java.lang.Object value)
Adds a new parameter with the specified name and value to the set of parameters used by the Client to generate the JSON payload for a
RPC request; this method should not be called by clients directly unless
custom requests are being executed. |
|
java.lang.String |
getComponent(java.lang.String name)
Returns the request component with the specified name, e.g. |
|
java.lang.String |
getContentType()
Returns the request's custom content (MIME) type if provided; if null, the Client will set the Content-Type request header to a default type
specified in the Provider class passed into it, usually
application/json. |
|
byte[] |
getCustomPayload()
Returns the request's custom payload if provided; if not null, this value overrides the JSON payload generated by the Client . |
|
java.lang.Class<? extends Model> |
getModelClass()
Returns the model class that developers use to access response data after a request has been successfully executed. |
|
java.lang.String |
getRestMethod()
Returns the associated HTTP method for REST requests, e.g. |
|
java.util.Map<java.lang.String,java.lang.Object> |
getRestPayloadParameters()
Returns the set of name-value pairs used by the Client to generate
the JSON payload for a RESTful request; guaranteed not to be null. |
|
java.util.Map<java.lang.String,java.lang.String> |
getRestQueryStringParameters()
Returns the set of name-value pairs used by the Client to generate
the query string that gets appended to the RESTful URL; guaranteed not to
be null. |
|
java.lang.String |
getRestUrlTemplate()
Returns the RESTful URL template for the requested resource type, e.g. |
|
java.lang.String |
getRpcMethod()
Returns the associated RPC method name, e.g. |
|
java.util.Map<java.lang.String,java.lang.Object> |
getRpcPayloadParameters()
Returns the set of name-value pairs used by the Client to generate
the JSON payload for a RPC request; guaranteed not to be null. |
|
void |
setAppId(java.lang.String appId)
Sets the request's appid component which is passed as a parameter when the request is executed. |
|
void |
setContentType(java.lang.String contentType)
Sets a custom content (MIME) type which is later used as the value of the Content-Type request header when the request is executed; leave null except when passing a custom payload such as binary image data. |
|
void |
setCountParameter(int count)
Sets the "count" extended request parameter to the specified value; used to specify the page size for a paged collection. |
|
void |
setCustomPayload(byte[] payload)
Sets the payload to pass in the corresponding HTTP request's body as POST data when the request is executed, overriding the JSON payload generated by the Client ; leave null except when uploading special content,
e.g. |
|
void |
setFieldsParameter(java.lang.String[] fields)
Sets the "fields" extended request parameter to the specified value; used to specify which field names to include in the representation or in the members of a collection. |
|
void |
setGroupId(java.lang.String groupId)
Sets the request's groupId component which is passed as a parameter when the request is executed. |
|
void |
setGuid(java.lang.String guid)
Sets the request's guid component which is passed as a parameter when the request is executed. |
|
void |
setModelClass(java.lang.Class<? extends Model> modelClass)
Sets the model class that developers will use to access response data after a request has been successfully executed; this method should not be called by clients directly unless custom requests are being executed. |
|
void |
setSelector(java.lang.String selector)
Sets the request's selector component which is passed as a parameter when the request is executed. |
|
void |
setStartIndexParameter(int startIndex)
Sets the "startIndex" extended request parameter to the specified value; used to specify the index into a paged collection. |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
|---|
public static final java.lang.String GUID
public static final java.lang.String GROUP_ID
public static final java.lang.String SELECTOR
public static final java.lang.String APP_ID
public static final java.lang.String ALBUM_ID
public static final java.lang.String ITEM_ID
public static final java.lang.String MOOD_ID
public static final java.lang.String FRIEND_ID
public static final java.lang.String HISTORY
| Constructor Detail |
|---|
public Request(java.lang.String restUrlTemplate, java.lang.String rpcMethod, java.lang.String restMethod)
Request
configured with the passed
RESTful URL template, RPC method name, and HTTP method.
restUrlTemplate
- RESTful URL template to use when executing request
using RESTrpcMethod
- RPC method name to use when executing request via
a RPCrestMethod
- HTTP method to use when executing request using
REST| Method Detail |
|---|
public java.lang.String getRpcMethod()
public java.lang.String getRestMethod()
public java.lang.String getRestUrlTemplate()
public java.lang.String getContentType()
Client
will set the Content-Type request header to a default type
specified in the Provider
class passed into it, usually
application/json.
public byte[] getCustomPayload()
Client
.
public java.lang.String getComponent(java.lang.String name)
name
- Name of the request component to return.public java.util.Map<java.lang.String,java.lang.Object> getRpcPayloadParameters()
Client
to generate
the JSON payload for a RPC request; guaranteed not to be null.
public java.util.Map<java.lang.String,java.lang.Object> getRestPayloadParameters()
Client
to generate
the JSON payload for a RESTful request; guaranteed not to be null.
public java.util.Map<java.lang.String,java.lang.String> getRestQueryStringParameters()
Client
to generate
the query string that gets appended to the RESTful URL; guaranteed not to
be null.
public java.lang.Class<? extends Model> getModelClass()
public void setGuid(java.lang.String guid)
guid
- GUID (OpenSocial user ID) to set or "@me" for the current
viewerpublic void setAppId(java.lang.String appId)
appId
- application ID to set or "@app" for the current applicationpublic void setGroupId(java.lang.String groupId)
groupId
- OpenSocial group ID to set, usually "@self" or "@friends"public void setSelector(java.lang.String selector)
selector
- OpenSocial selector to set, usually "@self" or "@friends"public void setContentType(java.lang.String contentType)
contentType
- custom Content-Type request header value to setpublic void setCustomPayload(byte[] payload)
Client
; leave null except when uploading special content,
e.g. binary image data, and make sure to call setContentType as well.
payload
- custom request payload to setpublic void addComponent(java.lang.String name, java.lang.String value)
name
- name of request component to setvalue
- new value of specified request componentpublic void addParameter(java.lang.String name, java.lang.String value)
name
- name of the extended parameter to setvalue
- value of the specified extended parameterpublic void addParameters(java.util.Map<java.lang.String,java.lang.String> parameters)
Map
.
parameters
- Map of name-value pairs to pass as extended request
parametersaddParameter(String, String)
public void setCountParameter(int count)
count
- new value of "count" extended request parameteraddParameter(String, String)
,
setStartIndexParameter(int)
public void setStartIndexParameter(int startIndex)
startIndex
- new value of "startIndex" extended request parameteraddParameter(String, String)
,
setCountParameter(int)
public void setFieldsParameter(java.lang.String[] fields)
fields
- array of field names to pass as extended request parameteraddParameter(String, String)
public void addRpcPayloadParameter(java.lang.String name, java.lang.Object value)
Client
to generate the JSON payload for a
RPC request; this method should not be called by clients directly unless
custom requests are being executed.
name
- name of RPC payload parameter to setvalue
- value of the specified RPC payload parameter, usually of type
String, List, or Mappublic void addRestPayloadParameter(java.lang.String name, java.lang.Object value)
Client
to generate the JSON payload for a
REST request; this method should not be called by clients directly unless
custom requests are being executed.
name
- name of REST payload parameter to setvalue
- value of the specified REST payload parameter, usually of
type String, List, or Mappublic <T extends Model> void addRestPayloadParameters(T modelObject)
Client
to generate the JSON payload
for a REST request ; this method should not be called by clients directly
unless custom requests are being executed.
modelObject
- Map of name-value pairs to pass as REST payload
parameterspublic void addRestQueryStringParameter(java.lang.String name, java.lang.String value)
Client
to generate the query string that
gets appended to the RESTful URL; this method should not be called by
clients directly unless custom requests are being executed.
name
- name of the REST query string parameter to setvalue
- value of the specified REST query string parameterpublic void setModelClass(java.lang.Class<? extends Model> modelClass)
modelClass
- class extending Model
to use to access response
data
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| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


Woody's RV World Marathon
Red Deer AB/CAN
Website: www.reddeermarathon.ca
Race Winners
(19 runnings)
20 May
2007
21 May
2006
22 May
2005
23 May 2004
18 May
2003
19 May
2002
20 May
2001
2000
1999
Notes: 1999 was the inaugural year.
21
May
2017
2:44:37
Craig Schmitt (AB/CAN)
3:28:22
Ann-Marie Landry (AB/CAN)
22
May
2016
2:39:35
Brendan Lunty-6
3:03:37
Kari Elliott (AB/CAN)
17 May
2015
2:42:51
Brendan Lunty-5
3:06:26
Rhonda Loo (AB/CAN)
18
May
2014
2:43:40
Brendan Lunty-4
3:11:09
Adela Salt (ENG)
19
May
2013
2:49:24
Brendan Lunty-3
3:18:48
Joelle MacDonald (CAN)
20 May
2012
2:40:22
Brendan Lunty-2
3:25:17
Bonnie Rouse (AB/CAN)
22 May
2011
2:42:25
Brendan Lunty (AB/CAN)
3:23:14
Sheila Woitas (CAN)
23 May
2010
2:52:53
Jack Cook-3
3:18:08
Dana Hansen (CAN)
17 May
2009
2:43:49
Jack Cook-2
3:30:54
Neasa Coll (BC/CAN)
18 May
2008
2:44:18
David-John Corbett (AB/CAN)
3:15:08
Claudette Augert (AB/CAN)
2:41:57
Jonathan Withey (AB/CAN)
3:20:09
Joylin Nodwell (AB/CAN)
2:49:30
Jack Cook (AB/CAN)
3:54:28
Ayano Hird (CAN)
2:45:52
Phil Meagher-5
3:18:26
Cindy Nyhoff (AB/CAN)
2:47:37
Phil Meagher-4
3:17:06
Kelly Davey (MB/CAN)
2:44:06
Phil Meagher-3
3:05:28
Colleen Latham (NT/CAN)
2:51:02
Phil Meagher-2
3:09:03
Julie Heidt (AB/CAN)
2:38:42
Phil Meagher (AB/CAN)
2:59:42
Sonja Frank (AB/CAN)
---
n/a
---
n/a
---
n/a
---
n/a
Most Wins
(1999/date)
Men
6
Brendan Lunty (AB/CAN)
2011-16
Women
No woman has won more than once according to
available information.
Prize Money (ADR qualified runners) Year Men Women Total 2015 $250 $415 $665 2014 365<PHONE_NUMBER> 290<PHONE_NUMBER> 295<PHONE_NUMBER> 310<PHONE_NUMBER> 290 290 580 .... 2007 450 270 720 Sums $2,250 $2,535 $4,785
Race Time Bias
(sec/km)
Insufficient data to calculate the race time bias.
Competitive Level (1990-date)
Insufficient data to calculate the competitive level.
Quality Performances
Men No men under 2:20 Women No women under 2:50
Finishers
Year Men Women M+F 2017 78 55 133 2016 87 70 157 2015 80 60 140 2014 87 48 135 2013 95 61 156 2012 98 66 164 2011 85 76 161 2010 98 80 178 2009 100 64 164 2008 168<PHONE_NUMBER> 122<PHONE_NUMBER> 143<PHONE_NUMBER> 175<PHONE_NUMBER> 197<PHONE_NUMBER> 219<PHONE_NUMBER> 210<PHONE_NUMBER> 138 92 230 2000 1999 Sums 2180 1569 3749 M/F 1.39
Last Updated on 26 May 2017


A new presentation framework
If you're familiar with impress.js, you should feel pretty comfortable
(Mosho was based on it).
Keep going to find out more.
It certainly looks fancy, but doing it is easy:

Hello, Mosho!

one

two

That was ease-y

Would you like to know more? Yes
It's not too tricky

 detour

scenic route

final destination

mosho.enter("mySlide", function () { console.log("yay!") })
mosho.plugin({ name: "scaleActiveSlide", preShow: function (evt) { prev = evt.detail.prevSlide next = evt.detail.nextSlide if (prev) { prev.scale(0.25) } if (next) { next.scale(4) } } })
This area is only visible on active slides. Useful when you want to hide some parts of your slide in background.


[gecode-users] Gecode 3.4.0 released
Guido Tack
tack at gecode.org
Mon Jul 26 09:21:40 CEST 2010
[sorry for multiple copies, we have had some email problems]
Dear all,
we are releasing a new version of Gecode:
Gecode 3.4.0
http://www.gecode.org
This release includes: considerably improved support for posting expressions and relations (also including set and full arithmetic expressions); other improvements for modeling (array initialization and element addition to arrays); state-of-the-art unary and cumulative scheduling propagators (including optional and flexible tasks); major cleanups of the variable and view infrastructure (now also documented in MPG); cleanups of the examples; several other fixes and performance improvements.
This release is the first to be accompanied by a complete version of "Modeling and Programming in Gecode" which has been extended by many new case studies and parts on programming search engines and variables.
On our web site, you find source packages, as well as binary packages for Windows and Mac OS.
Cheers,
Guido
--
Guido Tack, http://people.cs.kuleuven.be/~guido.tack/
More information about the users
mailing list


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Watch: Daniel Ricciardo suffers oil leak in FP1 of Abu Dhabi GP!
by Bobby VincentDaniel Ricciardo was on a hot lap with just 30 minutes remaining of the first free practice session of the Abu Dhabi Grand Prix weekend, his car suffered a mini explosion with a suspected oil leak. The Aussie driver does not know the impact this will have on Renault's weekend just yet. The session was haulted due to a red flag.


Simple Expense Tracker
Closing Balance
0.00 $
Income
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(positive for income, negative for expense)
.00
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Click the History to delete


Ederson back in Manchester City side for Chelsea clash
by FSA EditorManchester City lost away to Liverpool without injured goalkeeper Ederson, but he is back for Saturday’s home game against Chelsea.
Ederson is back in the Manchester City side to face Chelsea in the Premier League on Saturday.
The goalkeeper missed City’s last game, a 3-1 defeat at Liverpool that left the champions nine points behind Jurgen Klopp’s Reds in the Premier League table.
Ederson was withdrawn during a Champions League draw with Atalanta this month due to a thigh injury, with Kyle Walker ending the game in goal after Claudio Bravo was sent off.
The Brazil international has, as expected, been passed fit for a crunch clash with Chelsea, with Frank Lampard’s side having won six straight Premier League games to move up to third in the league, above City.
Bernardo Silva is out after being banned for one game for his controversial tweet about team-mate Benjamin Mendy, while Raheem Sterling starts after being dropped for England’s 7-0 win over Montenegro during the international break following an incident with Liverpool defender Joe Gomez.
David Silva also returns to midfield, having been an unused substitute against Liverpool, while Riyad Mahrez starts alongside Sterling and Sergio Aguero.
Joao Cancelo, John Stones, Fernandinho and Mendy line up in defence.
Chelsea make two changes from a victory over Crystal Palace as they aim to win eight consecutive away games in all competitions for the first time in their history.
Jorginho replaces Mason Mount in midfield and Cesar Azpilicueta comes in for Reece James at full-back.


Dialogue
- Added a Variable Wizard for helping with syntax for complicated variables. Use the "+~" button next to "Hover to see available variables" in the Dialogue tab to bring up a form where you can
select a variable and fill out parameters for it as discrete fields. This will insert a variable with the appropriate syntax at the location of the cursor in a line.
For example, instead of remembering to type out ~clothing.ifPlural(those|that)~, you could bring up the wizard and search for the clothing variable and fill out a form like this:
| Variable: |
clothing |
| Function: |
ifPlural |
| When singular: |
that |
| When plural: |
those |
- Typing variables manually is still an option, of course, and will likely still be preferable for experienced writers.
- Previewing a specific stage's pose (ex. right-clicking a stage checkbox) will now display a stage-specific variant if there is one instead of the pose listed in the line.
Epilogues
- Added an "Allow Scene Skip" option to let players switch between scenes when viewing an epilogue from the gallery.
Pose Matrix
- If part of a model (a belt, global arm, ribbon, etc.) is included in a pose code, but is not in any stage code or the sheet's base code, then it will now be included in the compiled code.
- In layman's terms, this means it's now possible to add new ribbons, face marks, etc. in a pose. Previously you would need to include these items in the base or clothing code and position them somewhere far off the model by default.
- Some limitations still apply: this doesn't work with image attachments, and you should still reserve a slot for the same thing in every pose (i.e. you shouldn't use ribbon 1 in slot 10 for stage 2 and then use ribbon 5 in slot 10 for stage 3).
Image Pipelines
- Added a Branch node for if/else logic.
- Added a Note node for adding comments inside a pipeline to help describe what it's doing.
Alternate Costumes
- The Tags tab of an alternate Skin now works identically to the Tags tab of the primary character, simplifying tagging.
Miscellaneous
- Added links to tutorial videos. While on a tab that has a tutorial, a Camera icon will appear on the top toolbar next to the Settings gear. Clicking this will take you to the relevant Youtube video.
- Added the version a character was lasted saved in as a column in the Character Lookup.
- Added a @ operator to variable tests, which means to treat a value as a range (ex. ~day.number~ @ 21-25 means day is between 21 and 25)
- Characters are now referred to by their Label rather than First Name, which is more consistent with the game.
Bug Fixes
- Fixed a memory leak with the pipeline editor.
- Improved performance when opening the pipeline editor.
- Improved responsiveness while editing nodes in a pipeline.
- Fixed an issue with transparencies blending improperly when using overlay blending.
- Fixed issue where unchecking all types of characters from the "Characters to hide" setting would hide all online characters the next time you started up the program.
- Fixed crash when opening an old character that has never been saved in the Character Editor before.
- Fixed the "Mark as Done" button in the Writing Aid so it actually does something.
- A face mark's opacity can now be posed.
- Fixed issue with positioning dropdown lists when on systems with multiple monitors are stacked vertically.
- Fixed "selected" and "game start" lines losing their images when loading a character that was created using the legacy "start" lines.
- Improved the preview speech bubble's positioning and size to closer match the game's.
- Fixed the discrepancy in line height when using formatting in the preview speech bubble vs. without it.
- Fixed an issue with the Also Playing character being dropped when generating a response for a legacy situation (ex. Jura's response to Amalia's flowers)
- Added a warning message when using image attachments that include a space.


WITNESS LIST International Relations & Trade Committee July 28, 2005 -12:00P SB 30 Registering, but not testifying: For: Caputo, Cobby (Town of South Padre Island), Austin, TX


Eddie Naff
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Eddie Naff
Eddie Naff
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(This page is playing Audio)
1. This page is playing audio. Kindly keep the volume 🔊 turned on.
2. Click on the left tab for 'ADHD' Test & on the right tab for 'AUTISM' Test.
3. After you click on the tabs you'll be shown a set of running images.
4. Click on the START TEST button to begin.
5. After you're done with the tests, hit 'SPACEBAR' to stop.
6. Observe those images while trying to distinguish between them.


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Then move on to the next page.


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In addition to our documentation, we produce technical content in the form of ebooks, blogs and webinars covering a range of use cases and technologies to help you learn more and solve problems.
If you're looking to follow-along with a quick start guide and learn how to use Codeship quickly:
Browse code examples and and sample projects for:
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LOST CATS!!!!!
Last seen walking the streets around NE 32th and Fremont on 10/8/2018
BooBoo is the most wonderful and majestic feline on the face of the earth.
Some of BooBoo's traits:
- American Short Hair
- Tuxedo (Black and White)
- Softest meow in the whole wide world
Please contact if found!
- Owner: Magenta Green
- Contact:<PHONE_NUMBER>
- Reward: All the thanks in the world!


This page tracks the new paper links made to my list of SCA 2012 papers.
Page maintained by Ke-Sen Huang.
If you have additions or changes, send an e-mail.
October 17, 2012
- Cloning Crowd Motions
October 4, 2012
- Interactive Steering of Mesh Animations (short presentation)
September 16, 2012
- Principal Geodesic Dynamics
- Efficient Simulation of Example-Based Materials
- Learning Motion Controllers with Adaptive Depth Perception
September 4, 2012
- Component-based Locomotion Composition
- Simple Data-Driven Control for Simulated Bipeds
- Controlling Liquids Using Meshes
- Faster Acceleration Noise for Multibody Animations using Precomputed Soundbanks
August 12, 2012
- Tiling Motion Patches
- Dynamic Units of Visual Speech
August 11, 2012
- Environment-aware Real-Time Crowd Control
()
(
)
- Long Range Attachments - A Method to Simulate Inextensible Clothing in Computer Games (short presentation)
- Finger Walking: Motion Editing with Contact-Based Hand Performance
August 2, 2012
- Smoke Sheets for Graph-Structured Vortex Filaments
July 30, 2012
- Page published
- Energy Conservation for the Simulation of Deformable Bodies (TVCG Paper)
(IEEE TVCG Link)
- Energetically Consistent Invertible Elasticity
- Smoke Sheets for Graph-Structured Vortex Filaments
- Linear-Time Smoke Animation with Vortex Sheet Meshes
- Multiphase flow of immiscible fluids on unstructured moving meshes
- Simulating Free Surface Flow with Very Large Time Steps
- Contact-Invariant Optimization for Hand Manipulation
- Evaluating the Plausibility of Edited Throwing Animations
- Quaternion Space Spare Decomposition for Motion Compression and Retrieval
- Environment-aware Real-Time Crowd Control
- Physically Plausible Simulation for Character Animation
- Mass-Conserving Eulerian Liquid Simulation
- Efficient Collision Detection for Brittle Fracture
- Multi-linear Data-Driven Dynamic Hair Model with Efficient Hair-Body Collision Handling
- Animating Wrinkles by Example on Non-Skinned Cloth (TVCG Paper)
IEEE TVCG Link
kesen.huang@gmail.com


WaterWayObstructions
mobile, jquery, water
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This is a platform for technical writers to manage their blog post contents related to angular. Click on Login to get Started!!!


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Blog Archive 2013 Introducing… 03 May 2013 Git Glone 21 Apr 2013 Abstracting a Service 09 Apr 2013 Your git squash-merge is bad 13 Feb 2013 Rails security; Being the best newbie & Redesigning Google 04 Feb 2013 TL;DR - Bacon Pancakes, Dynamic attributes & MongoDB and Now I Know 25 Jan 2013 Rails Security Vulnerabilities 18 Jan 2013 TL;DR: Deploying with Gitploy; Is your Rails Secured & Applying the Unix Philosophy to OOD 18 Jan 2013 Thou shalt clean thy branches: git rebase 15 Jan 2013 2012 TL;DR: Worst Apocolypse Ever; Programming with Kent Beck & OO Re-use 21 Dec 2012 TL;DR: D3, Refactoring ActveRecord models & Templates for consulting engagements 07 Dec 2012 Global Day Of Coderetreat 2012 05 Dec 2012 Active Merchant and Spree 27 Nov 2012 TL;DR: Rails 4, a responsive cat & a free book 16 Nov 2012 TL;DR: Learning Pyramids, Ruby 2.0 and Drunken User Testing 09 Nov 2012 The Siyelo Book Club 08 Nov 2012 Annotation without thought 08 Nov 2012 Welcoming Ile - Our newest team member 02 Nov 2012 TL;DR: Making Rails fast, Practical OO & Google data centers 19 Oct 2012 TL;DR: Great RSpect tests, TripAdvisors growth & Going password-less 12 Oct 2012 TL;DR: Lean from the Trenches, Schemaless SQL & Blowing in Nintendo cartridges 05 Oct 2012 It’s not you, it’s me… 05 Oct 2012 TL;DR: Ruby Security Guide, Macedonian parties & Moving things around 28 Sep 2012 Siyelo Drinkup Skopje, the photos 24 Sep 2012 Junior Web Developer Wanted 20 Sep 2012 TL;DR: Sachin’s beard, Skeuomorphism & Knowledge debt 13 Sep 2012 Siyelo Drinkup: Skopje 11 Sep 2012 We’re Hiring - Experienced Web Developer 11 Sep 2012 Scratching an itch 07 Sep 2012 Rails Deployment Audit 13 Jul 2012 Vim Tips - Part II 03 Jul 2012 Vim Tips - Part I 27 Jun 2012 Rails 3 upgrade process (the road from 2.3.14 to 3.2.6) 21 Jun 2012 WE’RE HIRING! – SOCIAL MEDIA MARKETING INTERN 11 May 2012 2011 Intro to Machine Learning in Ruby 30 Dec 2011 Redis in the NoSQL ecosystem 28 Dec 2011 jQuery Mobile overview 14 Dec 2011 Stop Internet Censorship - FIGHT SOPA 13 Dec 2011 Siyelos’ git workflow 12 Dec 2011 We have a new phone number! 08 Dec 2011 Remote pair-programming with Screen 03 Nov 2011 Koding in Khayelitsha - great photo 04 Oct 2011 Siyelo Office Graffiti: stop-motion video 23 Sep 2011 Installing a gem in all your global RVM gemsets 08 Sep 2011 How to bulk delete remote git tags 01 Aug 2011 Can’t drop your Heroku database? 27 Jul 2011 Siyelo: An equal opportunity employer. 18 Jun 2011 Experienced Web Developer wanted 04 Mar 2011 RubyFuZa conference, Cape Town - pics 05 Feb 2011 2010 The Siyelo fridge 16 Dec 2010 A Zerigo DNS template for Heroku and Google Apps 01 Dec 2010 RailsConf 2010 - some pics courtesy Dr Nic 07 Oct 2010 Git workflow for a staging environment with Heroku and GitHub 23 Sep 2010 CanCan - make up your mind! 25 Aug 2010 Solving HTML5 compatibility issues 25 Aug 2010 Web apps to outlast mobile/native apps 25 Jun 2010 Scaling Ruby on Rails for the Enterprise 19 Jun 2010 Handy rake tasks for Heroku 18 Jun 2010 GitHub gem: A JSON text must at least contain two octets! (JSON::ParserError) 07 Jun 2010 The easiest way to make sass/compass work on Heroku 03 Jun 2010 Scalable full screen background image 28 Apr 2010 Tip of the day: MIME types for Paperclip & IE8 15 Apr 2010 Tired of Textmate’s slow ‘Find in Project’? `*`nix to the rescue 24 Mar 2010 Speeding up bash aliasing to speed up your Rails development 19 Mar 2010 The Facebook imperative cannot be stopped 11 Mar 2010 Siyelo @ Sortfolio 19 Feb 2010 ‘The least you can do’ on Usability 19 Feb 2010 Rails 2.3/Devise : changing your email content type. 18 Feb 2010 Using Devise for authentication? How to upgrade from v0.8.2 to v1.0 11 Feb 2010 Paperclip - attachment validations 28 Jan 2010 Programmer or Software Developer? 22 Jan 2010 The real cost of bad software 21 Jan 2010 What makes a good website? 20 Jan 2010 Full text search on Heroku with Texticle 12 Jan 2010 Are Agile Projects Doomed to Half-Baked Design? 10 Jan 2010 Design Chunking with Scrum 10 Jan 2010
TL;DR: Deploying with Gitploy; Is your Rails Secured & Applying the Unix Philosophy to OOD 18 Jan 2013


|
Descriptor Based Methods in the Wild
Lior Wolf1
Tal Hassner2
Yaniv Taigman1,3
1. The School of Computer Science,
Tel-Aviv University, Israel
2. Computer Science Division
The Open University of Israel
3. face.com,
Tel-Aviv, Israel
Abstract: Recent methods for learning similarity between images have presented
impressive results in the problem of pair matching (same/not-same classification)
of face images. In this paper we explore how well this performance carries over
to the related task of multi-option face identification, specifically on the Labeled
Faces in the Wild (LFW) image set. In addition, we seek to compare the performance
of similarity learning methods to descriptor based methods. We present the following
results: (1) Descriptor-Based approaches that efficiently encode the appearance
of each face image as a vector outperform the leading similarity based method in
the task of multi-option face identification. (2) Straightforward use of Euclidean
distance on the descriptor vectors performs somewhat worse than the similarity learning
methods on the task of pair matching. (3) Adding a learning stage, the performance
of descriptor based methods matches and exceeds that of similarity methods on the
pair matching task. (4) A novel patch based descriptor we propose is able to improve
the performance of the successful Local Binary Pattern (LBP) descriptor in both
multi-option identification and same/not-same classification.
Reference:
Lior Wolf, Tal Hassner and Yaniv Taigman,
"Descriptor Based Methods in the Wild," Faces in Real-Life Images workshop
at the European Conference on Computer Vision (ECCV), Oct 2008.
Click here for the
PDF (1,098kb)
Click here for
the BibTex
Best result on
the
LFW face recognition benchmark,
at the Faces in Real-Life Images workshop,
2008
Related publications:
Multiple One-Shots for Utilizing Class Label Information
The One-Shot Similarity Kernal
MATLAB Code for the Three-Patch LBP (TPLBP) and Four-Patch LBP (FPLBP) global image
descriptors
Below please find MATLAB code for producing the TPLBP and FPLBP codes and global
image descriptors. Note that this code was not the one used in the experiments reported
in the paper, nor are the default parametrs necessarily the same as the ones we
used. Please report any bugs or problems to<EMAIL_ADDRESS>Type "help TPLBP" or "help FPLBP" for more information on each of these functions.
A typical usage would look something like this:
>> I = imread(...);
>> I = rgb2gray(I);
>> [descI, codeI]=FPLBP(I);
>> descI = descI(:);
descI will then contain the FPLBP global image descriptor.
Downloads:
TPLBP.m
FPLBP.m
Copyright and disclaimer:
Copyright 2008, Lior Wolf and Tal Hassner
Copyright: no material is allowed to be
copied or used in any way without written permission of the authors.
Last update 22th of July, 2009
|


This configuration has been successfully saved at location .
Please note that training your model may take some time depending on the size of your dataset.


{% extends "layout.html" %} {% block content %}
Take a new adventure, visit a friend, hop on a romantic getaway. Spontaneity has reached new heights. Search last minute flight deals for this coming weekend!
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FROM THE DESK OF MR.GODFREY ECHE FIRST BANK OF NIGERIA PLC LAGOS-NIGERIA<EMAIL_ADDRESS>DEAR SIR, STRICTLY A PRIVATE BUSINESS PROPOSAL I AM MR. GODFREY ECHE,THE MANAGER OF BILLS AND EXCHANGE AT THE FOREIGN REMITTANCE DEPARTMENT OF THE FIRST BANK PLC. I AM WRITINGTHIS LETTER TO ASK FOR YOUR SUPPORT AND COOPERATION TO CARRY OUT THIS BUSINESS OPPORTUNITY IN MY DEPARTMENT. WE DISCOVERED AN ABANDONED SUUNITED STATES DOLLARSONLY) IN AN ACCOUNT THAT BELONGS TO ONE OF OUR FOREIGNCUSTOMERS WHO DIED ALONG WITH HIS ENTIRE FAMILY OF A WIFE AND TWO CHILDREN IN NOVEMBER 1997 IN A PLANE CRASH.SINCE WE HEARD OF HIS DEATH, WE HAVE BEEN EXPECTING HIS NEXT-OF-KIN TO COME OVER AND PUT CLAIMS FOR HIS MONEY AS THE HEIR,BECAUSE WE CANNOT RELEASE THEFUND FROM HIS ACCOUNT UNLESS SOMEONE APPLIES FOR CLAIM AS THE NEXT-OF-KIN TO THE DECEASED ASINDICATEDINOURBANKINGGUIDELINES.UNFORTUNATELY,NEITHER THEIR FAMILY MEMBER NOR DISTANTRELATIVE HAS EVER APPEARED TO CLAIM THE SAID FUND. UPON THIS DISCOVERY,I AND OTHEROFFICIALS IN MY DEPARTMENT HAVE AGREED TO MAKE BUSINESS WITH YOU AND RELEASE THE TOTAL AMOUNT INTO YOUR ACCOUNT AS THE HEIR OF THE FUND SINCE NO ONE CAMEFOR IT OR DISCOVERED HE MAINTAINED ACCOUNT WITH OUR BANK, OTHERWISE THE FUND WILL BE RETURNED TO THE BANKS TREASURY AS UNCLAIMED FUND. WE HAVE AGREED THAT OUR RATIO OF SHARING WILL BEAS STATED THUS; 30 % FOR YOU AS FOREIGN PARTNER, 60 % FOR US THE OFFICIALS IN MY DEPARTMENT AND 10 % FOR THE SETTLEMENT OF ALL LOCAL AND FOREIGN EXPENCES INCURRED BY US AND YOU DURING THE COURSE OF THIS BUSINESS. UPON THE SUCCESSFUL COMPLETION OF THIS TRANSFER, I AND ONE OF MY COLLEAGUESWILL COME TO YOUR COUNTRY AND MIND OUR SHARE. IT IS FROM OUR 60 % WE INTEND TO IMPORT AGRICULTURAL MACHINERIES INTO MY COUNTRY AS A WAY OF RECYCLING THE FUND.  NOTE ALSO, THIS TRANSACTION MUST BE KEPT STRICTLY CONFIDENTIAL BECAUSE OF IT'S NATURE. I LOOK FORWARD TO RECEIVING YOUR PROMPT RESPONSE. REGARDS, MR. GODFREY ECHE FIRST BANK OF NIGERIA PLC. ----------------------------------------------------------------------------------- This E-mail was sent through Albawaba E-mail. Get your own at mail.albawaba.com


Last updated 3 April 1997
The Mk/B-53 is the oldest and highest yield nuclear weapon in the U.S. arsenal. It is currently being removed from service as it is replaced by the B61-11.
| Yield | 9 Megatons |
|---|---|
| Weight | 8850 lb |
| Length | 12 ft. 6 in (150 in) |
| Diameter | 50 in |
| Number In Service | About 50 |
Two stage radiation implosion weapon
Basic warhead design the same as in the W-53 warhead deployed on the Titan-II ICBM (now out of service).
Rear portion of bomb consists of parachute system, weighing 800-900 lb. The nose is made of a frangible aluminum honeycomb "shock absorber" for laydown delivery and weighs more than 150 lb.
Characteristics of the W-53, and the Hardtack Phase I test devices, indicate that the actual warhead "physics package" is no more than 102 inches long by 36.52 inches in diameter, with a weight of ~6000 lb. The skin on the 50 inch in diameter bomb is described as "fragile", consistent with it being only a light weight structure housing a smaller diameter weapon. The added length comes primarily from the B-53 parachute system and frangible nose, the excess weight from these and the dummy body.
Although there is only one reported yield for this weapon, the two variants produced - the "dirty" Y1 and the "clean" Y2 - suggest that two different yields may exist.
Fissile material is all-oralloy (highly enriched uranium), no plutonium
Lithium-6 (95% enrichment) deuteride fusion fuel
Cyclotol or Composition B high explosive (castable RDX/TNT mixtures), not insensitive
The B53-Y1 is a "dirty" version (with a U-238 encased secondary). The B53-Y2 is a "clean" version, perhaps with a lead or tungsten secondary casing.
B-52G strategic bomber (internal bomb bay)
Originally lacked modern arming and safing features, but has been given a life extension upgrade. Probably uses mechanical lock on firing system.
Selected on ground prior to mission.
Four fuzing options:
Five parachutes are used:
Designed and developed by Los Alamos Scientific Laboratory (LASL). The Mk-53 apparently can trace a design lineage back to the very first solid-fuel radiation implosion device ever tested, the Shrimp detonated in the Castle Bravo test. The Shrimp design was weaponized into the lighter and more compact Mk-21. Later, an even smaller and lighter high yield weapon designated the Mk-46 was developed from the Mk-21. After a test failure in Operation Hardtack I, the TX-46 secondary was redesigned and generated a high yield on a retest. This revised design was assigned the designation TX-53, and developed into a deployed weapon. Although opportunity to test the production version of the Mk-53 existed during Dominic I and II, it appears that the only test of the Mk-53 design at full yield was the Hardtack I retest, before the TX/Mk-53 designation had even been assigned.
Current models are the B53-Y1 and the B53-Y2, which are "dirty" and "clean" versions. The last 50 B-53 bombs finally began retirement from active service at the beginning of 1997 (although they remain part of the enduring stockpile). The role assigned to the B-53, destroying buried command centers, is being taken over by the B61-11 ground penetrating warhead.
| 1955 | |
|---|---|
| November | DOD requests AEC to prepare a feasibility study on a "Class C" warhead (megaton range, <10,000 lb, 40 in wide or less) |
| 1956 | |
| September | LASL assigned responsibility for a new "Class C" warhead. |
| 1957 | |
| June | DOD authorizes development of a "Class C" weapon designated the Mk-46 |
| 1958 | |
| March | Ordnance characteristics of the Mk-46 design released. Strategic Air Command issues request for "Class C" full fuzing option aerial bomb to succeed the Mk 41 |
| Summer | Developmental tests of the new "Class C" weapon fired in Operation Hardtack Phase I at Enewetok: 11 May 18:15 (GMT) Butternut - test of Mk-46 primary and radiation implosion system, 6185 lb device (347 lb primary), yield 81 Kt (105 Kt predicted) 26 May 02:00 (GMT) Yellowwood - test of full Mk-46 thermonuclear system, 5885 lb device, the second stage fizzled producing a total yield of only 330 Kt 28 June 19:30 (GMT) Oak - retest of redesigned full thermonuclear system. Device description: 6113 lb overall, 346 lb primary, 37 in diameter, 100 in long. Yield 8.9 Mt (5 Mt fission). Apparently the only full yield test of the basic design ever conducted. |
| October | LASL and Sandia submit proposed schedule and warhead characteristics |
| December | AEC direct LASL and Sandia to proceed with "Class C" weapon development |
| 1959 | |
| Early 1959 | Warhead assigned new TX-53 designation |
| 1960 | |
| July | Production engineering on Mk-53 begun |
| 1961 | |
| February | Engineering release for Mk-53 |
| 1962 | |
| August | Release of Mk-53 design (10 August), first production units |
| 1964 | B53-Y2 begins production |
| 1965 | |
| June | Production of Mk-53 halts |
Initial manufacture August 1962
Initial deployment 1962
Approximately 340 B-53 bombs were manufactured between August 1962 and June
1965 at the AEC's Burlington , Iowa final assembly plant.
Retirement of the initial model began in July 1967
In the mid-80s plans were made to retire and dismantle the B-53 and replace it with the B-83. On 5 August 1987, with 25 remaining in service, it was decided to halt retirement, and return to service another 25 that had been retired but not dismantled (the only time this has happened in the U.S.). The stated reason for this decision was to retain the ability to destroy deeply buried hard targets.
In the late 80s a life extension program for the B-53 was begun, which included upgrades to the safing equipment.
The new earth-penetrating B-61 modification, the Mod 11, began entering service in January 1997 and is replacing the B-53 in active service. Under current plans the B-53 will be retained indefinitely as part of the hedge stockpile.
65 W-53s originally deployed, now withdrawn and dismantled
The W-53, sister warhead to the B-53


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count: true ### Motivation We control some communicating devices, they want to access to a single base station. - Insert them in a **crowded wireless network**. - With a protocol **slotted in both time and frequency**. #### Goal - Maintain a **good Quality of Service**. - **With no centralized control** as it costs network overhead. #### How? - Devices can choose a different radio channel at each time → learn the best one with sequential algorithm! --- ### Outline and reference 1. Introduction 2. Our model: 3 different feedback levels 3. Decomposition and lower bound on regret 4. Quick reminder on single-player MAB algorithms 5. Two new multi-player decentralized algorithms 6. Upper bounds on regret for MCTopM 7. Experimental results 8. An heuristic (Selfish), and disappointing results 9. Conclusion This is based on our latest article: - "Multi-Player Bandits Models Revisited", Besson & Kaufmann. [arXiv:1711.02317](https://arXiv.org/abs/1711.02317) ---- ### Our model - K radio channels (*e.g.*, 10) (*known*) - Discrete and synchronized time t >= 1. Every time frame t is: ![Protocol in time and frequency, with an Acknowledgement](figures/protocol.png) #### Dynamic device = dynamic radio reconfiguration - It decides **each time** the channel it uses to send **each packet**. - It can implement a simple **decision algorithm**. --- ### Our model #### "Easy" case - M <= K devices **always communicate** and try to access the network, *independently* without centralized supervision, - Background traffic is *i.i.d.*. #### Two variants : with or without *sensing* 1. *With sensing*: Device first senses for presence of Primary Users (background traffic), then use `Ack` to detect collisions. Model the "classical" Opportunistic Spectrum Access problem. Not exactly suited for *Internet of Things*, but can model ZigBee, and can be analyzed mathematically... 2. *Without sensing*: same background traffic, but cannot sense, so only `Ack` is used. More suited for "IoT" networks like LoRa or SigFox. (Harder to analyze mathematically.) --- ### Background traffic, and rewards #### *i.i.d.* background traffic - K channels, modeled as Bernoulli (0/1) distributions of mean µ_k = background traffic from *Primary Users*, bothering the dynamic devices, - M devices, each uses channel A^j(t) in {1,...,K} at time t. #### Rewards r^j(t) := Y_{A^j(t),t} × 1(not C^j(t)) = 1(uplink & Ack). - with sensing information for all k, Y_{k,t} ~ Bern(µ_k) in {0, 1}, - collision for device j : C^j(t) = 1(*alone on arm A^j(t)*). → joint binary reward **but not** from two Bernoulli! --- ### 3 feedback levels r^j(t)} := Y_{A^j(t),t} × 1(not C^j(t)) 1. "Full feedback": observe both Y_{A^j(t),t} *and* C^j(t) separately, → Not realistic enough, we don't focus on it. 2. "Sensing": first observe Y_{A^j(t),t}, *then* C^j(t) only if Y_{A^j(t),t} != 0, → Models licensed protocols (ex. ZigBee), our main focus. 3. "No sensing": observe only the joint Y_{A^j(t),t} × 1(not C^j(t)), → Unlicensed protocols (ex. LoRaWAN), harder to analyze ! But all consider the same instantaneous reward r^j(t). --- ### Goal #### Problem - *Goal* : *minimize packet loss ratio* (= maximize nb of received `Ack`) in a *finite-space discrete-time Decision Making Problem*. - *Solution ?* **Multi-Armed Bandit algorithms**, **decentralized** and used **independently** by each dynamic device. #### *Decentralized* reinforcement learning optimization! - Max transmission rate = **max cumulated rewards** max_{text{algorithm} A} sum_{t=1}^{T} sum_{j=1}^M r^j_{A(t)}. - Each player wants to **maximize its cumulated reward**, - With no central control, and no exchange of information, - Only possible if : each player converges to one of the M best arms, orthogonally (without collisions). --- ### Centralized regret #### A measure of success - Not the network throughput or collision probability, - We study the **centralized** (expected) **regret**: R_T(µ, M, rho) := E_µ[ sum_{t=1}^T sum_{j=1}^M µ_j^* - r^j(t)] = (sum_{k=1}^{M}µ_k^*) T - E_µ[sum_{t=1}^T sum_{j=1}^M r^j(t)] #### Two directions of analysis - Clearly R_T = O(T), but we want a sub-linear regret, as small as possible! - *How good a decentralized algorithm can be in this setting?* → **Lower Bound** on regret, for **any** algorithm ! - *How good is my decentralized algorithm in this setting?* → **Upper Bound** on regret, for **one** algorithm ! --- ### Lower bound 1. Decomposition of regret in 3 terms, 2. Asymptotic lower bound of one term, 3. And for regret, 4. Sketch of proof, 5. Illustration. --- ### Decomposition on regret #### Decomposition For any algorithm, decentralized or not, we have R_T(µ, M, rho) = sum_{k in M-worst} (µ_M^* - µ_k) E_µ[T_k(T)] + sum_{k in M-best} (µ_k - µ_M^*) (T - E_µ[T_k(T)]) + sum_{k=1}^{K} µ_k E_µ[C_k(T)]. #### Small regret can be attained if... 1. Devices can quickly identify the bad arms M-worst, and not play them too much (*number of sub-optimal selections*), 2. Devices can quickly identify the best arms, and most surely play them (*number of optimal non-selections*), 3. Devices can use orthogonal channels (*number of collisions*). ### Asymptotic Lower Bound on regret #### 3 terms to lower bound... - The first term for sub-optimal arms selections is lower bounded asymptotically, for all player j, bad arm k, lim inf (T → oo) E_µ[T_k^j(T)] / \log T >= 1 / kl(µ_k, µ_M^*), using technical information theory tools (Kullback-Leibler divergence, entropy), - And we lower bound the rest (including collisions) by... 0 T - E_µ[T_k(T)] >= 0 and E_µ[C_k(T)] >= 0, 😭 we should be able to do better! ### Asymptotic Lower Bound on regret #### Theorem 1 [Besson & Kaufmann, 2017] - For any uniformly efficient decentralized policy, and any non-degenerated problem µ, lim inf (T → oo) R_T(µ, M, rho) / log(T) >= M × ( sum_{k in M-worst} (µ_M^* - µ_k) / kl(µ_k, µ_M^*) ) . Where kl(x,y) := x log(x / y) + (1 - x) log(1-x / 1-y) is the *binary* Kullback-Leibler divergence. #### Remarks - The centralized *multiple-play* lower bound is the same without the M multiplicative factor... Ref: [Anantharam et al, 1987] → "price of non-coordination" = M = nb of player? - Improved state-of-the-art lower bound, but still not perfect: collisions should also be controlled! --- ### Illustration of the Lower Bound on regret ![Any such lower bound is very asymptotic, usually not satisfied for small horizons. We can see the importance of the collisions!](figures/main_RegretCentralized____env3-4_2092905764868974160.png) --- ### Sketch of the proof - Like for single-player bandit, focus on E_µ[T_k^j(T)] expected number of selections of any sub-optimal arm k. - Same information-theoretic tools, using a "change of law" lemma. Ref: [Garivier et al, 2016] - It improved the state-of-the-art because of our decomposition, not because of new tools. > → See our paper for details! --- ### Single-player MAB algorithms 1. Index-based MAB deterministic policies, 2. Upper Confidence Bound algorithm : UCB, 3. Kullback-Leibler UCB algorithm : klUCB. --- ### Upper Confidence Bound algorithm UCB1 The device keep t number of sent packets, T_k(t) selections of channel k, X_k(t) successful transmissions in channel k. 1. For the first K steps (t=1,...,K), try each channel *once*. 2. Then for the next steps t > K : - Compute the index g_k(t) := X_k(t) / T_k(t) + sqrt{log(t) / 2 T_k(t)} - Choose channel A(t) = arg max_k g_k(t), - Update T_k(t+1) and X_k(t+1). References: [Lai & Robbins, 1985], [Auer et al, 2002], [Bubeck & Cesa-Bianchi, 2012] --- ### Kullback-Leibler UCB algorithm klUCB The device keep t number of sent packets, T_k(t) selections of channel k, X_k(t) successful transmissions in channel k. 1. For the first K steps (t=1,...,K), try each channel *once*. 2. Then for the next steps t > K : - Compute the index g_k(t) := sup_{q in [a, b]} { q : kl(X_k(t) / T_k(t), q) <= log(t) / T_k(t) } - Choose channel A(t) = arg max_k g_k(t), - Update T_k(t+1) and X_k(t+1). *Why bother?* klUCB is proved to be more efficient than UCB, and asymptotically optimal for single-player stochastic bandit. References: [Garivier & Cappé, 2011], [Cappé & Garivier & Maillard & Munos & Stoltz, 2013] --- ### Multi-player decentralized algorithms 1. Common building blocks of previous algorithms, 2. First proposal: RandTopM, 3. Second proposal: MCTopM, 4. Algorithm and illustration. --- ### Algorithms for this easier model #### Building blocks : separate the two aspects 1. **MAB policy** to learn the best arms (use sensing Y_{A^j(t),t}), 2. **Orthogonalization scheme** to avoid collisions (use C^j(t)). #### Many different proposals for *decentralized* learning policies - Recent: MEGA and MusicalChair, [Avner & Mannor, 2015], [Shamir et al, 2016] - State-of-the-art: rhoRand policy and variants. [Anandkumar et al, 2011] #### **Our proposals**: [Besson & Kaufmann, 2017] - *With sensing*: RandTopM and MCTopM are sort of mixes between rhoRand and MusicalChair, using UCB indexes or more efficient index policies (klUCB), - *Without sensing*: Selfish use a UCB index directly on the reward r^j(t). --- ### A first decentralized algorithm ![The MCTopM algorithm](figures/algo1.png) ---- ### The RandTopM algorithm ![The MCTopM algorithm](figures/algo2.png) --- ### The MCTopM algorithm ![The MCTopM algorithm](figures/algo3.png) ---- ### The MCTopM algorithm ![The MCTopM algorithm](figures/algo4.png) --- ### Regret upper bound 1. Theorem, 2. Remarks, 3. Idea of the proof. --- ### Regret upper bound for MCTopM #### Theorem 2 [Besson & Kaufmann, 2017] - If all M players use MCTopM with klUCB, then for any non-degenerated problem µ, there exists a problem dependent constant G_{M,µ} , such that the regret satisfies: R_T(µ, M, rho) \leq G_{M,µ} log(T) + \smallO{\log T}. #### How? - Decomposition of regret controlled with two terms, - Control both terms, both are logarithmic: + Suboptimal selections with the "classical analysis" on klUCB indexes + Collisions are harder to control... ---- ### Regret upper bound for MCTopM #### Remarks - Hard to prove, we had to carefully design the MCTopM algorithm to conclude the proof, - The constant G_{M,µ} scales as M^3, way better than rhoRand's constant scaling as M{2M-1 \choose M}, - We also *minimize the number of channel switching*: interesting as changing arm costs energy in radio systems, - For the suboptimal selections, we *match our lower bound* ! - Not yet possible to know what is the best possible control of collisions... --- ### Sketch of the proof 1. Bound the expected number of collisions by M times the number of collisions for non-sitted players, 2. Bound the expected number of transitions of type (3) and (5), by \bigO{\log T} using the klUCB indexes and the forced choice of the algorithm: g_k^j(t-1) \leq g^j_{k'}(t-1), and} g_k^j(t) > g^j_{k'}(t) when switching from k' to k, 3. Bound the expected length of a sequence in the non-sitted state by a constant, 4. So most of the times (O(T - log T)), players are sitted, and no collision happens when they are all sitted! > → See our paper for details! --- ### Experimental results > Experiments on Bernoulli problems µ in [0,1]^K. 1. Illustration of regret for a single problem and M = K, 2. Regret for uniformly sampled problems and M < K, 3. Logarithmic number of collisions, 4. Logarithmic number of arm switches, 5. Fairness? --- ### Constant regret if M = K Regret, M=9 players, K=9 arms, horizon T=10000, 200 repetitions. Only RandTopM and MCTopM achieve constant regret in this saturated case (proved). ![](figures/MP__K9_M9_T10000_N200__4_algos/all_RegretCentralized____env1-1_2306423191427933958.png) ### Illustration of regret of different algorithms Regret, M=6 players, K=9 arms, horizon T=5000, against 500 problems µ uniformly sampled in [0,1]^K. Conclusion : rhoRand < RandTopM < Selfish < MCTopM in most cases. ![](figures/MP__K9_M6_T5000_N500__4_algos/all_RegretCentralized____env1-1_8318947830261751207.png) ### Logarithmic number of collisions Cumulated number of collisions. Also rhoRand < RandTopM < Selfish < MCTopM in most cases. ![](figures/MP__K9_M6_T5000_N500__4_algos/all_CumNbCollisions____env1-1_8318947830261751207.png) ### Logarithmic number of arm switches Cumulated number of arm switches. Again rhoRand < RandTopM < Selfish < MCTopM, but no guarantee for rhoRand. ![](figures/MP__K9_M6_T5000_N500__4_algos/all_CumNbSwitchs____env1-1_8318947830261751207.png) ### Fairness Measure of fairness among player. All 4 algorithms seem fair in average, but none is fair on a single run It's quite hard to achieve both efficiency and single-run fairness! ![](figures/MP__K9_M6_T5000_N500__4_algos/all_FairnessSTD____env1-1_8318947830261751207.png) --- ### An heuristic, Selfish For the harder feedback model, without sensing. 1. Just an heuristic, 2. Problems with Selfish, 5. Illustration of failure cases. --- ### The Selfish heuristic The Selfish decentralized approach = device don't use sensing, just learn on the reward (acknowledgement or not, r^j(t)). Reference: [Bonnefoi & Besson et al, 2017] #### Works fine... - More suited to model IoT networks, - Use less information, and don't know the value of M: we expect Selfish to not have stronger guarantees. - It works fine in practice! #### *But why would it work?* - Sensing was *i.i.d.* so using UCB to learn the µ_k makes sense, - But collisions are not *i.i.d.*, - Adversarial algorithms are more appropriate here, - But empirically, Selfish with UCB or klUCB works much better than, *e.g.*, Exp3... #### Works fine... - Except... when it fails drastically! 😭 - In small problems with M and K = 2 or 3, we found small probability of failures (*i.e.*, linear regret), and this prevents from having a generic upper bound on regret for Selfish. ---- ### Illustration of failing cases for Selfish ![Regret for M=2, K=3, T=5000, 1000 repetitions and µ = [0.1, 0.5, 0.9]. Axis x is for regret (different scale for each), and Selfish have a small probability of failure (17/1000 cases of R_T \gg \log T). The regret for the three other algorithms is very small for this "easy" problem.](figures/MP__K3_M2_T5000_N1000__4_algos/all_HistogramsRegret____env1-1_5016720151160452442.png) --- ### Sum-up #### *Wait, what was the problem ?* - MAB algorithms have guarantees for *i.i.d. settings*, - But here the collisions cancel the *i.i.d.* hypothesis... - Not easy to obtain guarantees in this mixed setting (*i.i.d.* emissions process, "game theoretic" collisions). #### Theoretical results - With sensing ("OSA"), we obtained strong results: a lower bound, and an order-optimal algorithm, - But without sensing ("IoT"), it is harder... our heuristic Selfish usually works but can fail! --- ### Other directions of future work #### Conclude the Multi-Player OSA analysis - Remove hypothesis that objects know M, - Allow arrival/departure of objects, - Non-stationarity of background traffic etc - *More realistic emission model*: maybe driven by number of packets in a whole day, instead of emission probability. #### Extend to more objects M > K - Extend the theoretical analysis to the large-scale IoT model, first with sensing (*e.g.*, models ZigBee networks), then without sensing (*e.g.*, LoRaWAN networks). --- ### Conclusion - In a wireless network with an *i.i.d.* background traffic in K channels, - M devices can use both sensing and acknowledgement feedback, to learn the most free channels and to find orthogonal configurations. #### We showed 😀 - Decentralized bandit algorithms can solve this problem, - We have a lower bound for any decentralized algorithm, - And we proposed an order-optimal algorithm, based on klUCB and an improved Musical Chair scheme, MCTopM #### But more work is still needed... 😕 - **Theoretical guarantees** are still missing for the "IoT" model (without sensing), and can be improved (slightly) for the "OSA" model (with sensing). - Maybe study **other emission models**... - Implement and test this on **real-world radio devices** → demo (in progress) for the ICT 2018 conference! #### **Thanks!** 😀 *Any question or idea ?*


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FOI release
Response to a number of secondary schools and their pupil headcount for a number of ranges.
The number of pupils and schools in England is published as part of the annual Statistical First Release ‘Schools, pupils and their characteristics’. The latest data available is for January 2012 .
On January 2012 there were 3,268 state-funded mainstream secondary schools in England, of which:
Education is a devolved matter in the United Kingdom.
School census information is available from the devolved administrations in Wales , Scotland and Northern Ireland .


{{site.user_description}}
The main IDE for programming is Vim, but any IDE is good, like Netbeans or any IDE developed by Intelli J For version control use Git.
Know a widely common programming languages, but primary use python for scrippting and lightweight applications, Java for robust apps, php for quickly development, for database i use SQL, and for game programming mostly gdScript and C#.
In this branch i use Audacity and LMMS for sound design, and for visual design i mainly use Gimp, also photoshop.


|
Contiki 2.5
|
The ctimer module provides a timer mechanism that calls a specified C function when a ctimer expires. More...
Files | |
| file | ctimer.c |
Callback timer implementation. | |
| file | ctimer.h |
Header file for the callback timer. | |
Functions | |
| void | ctimer_init (void) |
| Initialize the callback timer library. | |
| void | ctimer_set (struct ctimer *c, clock_time_t t, void(*f)(void *), void *ptr) |
| Set a callback timer. | |
| void | ctimer_reset (struct ctimer *c) |
| Reset a callback timer with the same interval as was previously set. | |
| void | ctimer_restart (struct ctimer *c) |
| Restart a callback timer from the current point in time. | |
| void | ctimer_stop (struct ctimer *c) |
| Stop a pending callback timer. | |
| int | ctimer_expired (struct ctimer *c) |
| Check if a callback timer has expired. |
The ctimer module provides a timer mechanism that calls a specified C function when a ctimer expires.
| int ctimer_expired | ( | struct ctimer * | c | ) |
Check if a callback timer has expired.
| c | A pointer to the callback timer |
This function tests if a callback timer has expired and returns true or false depending on its status.
Definition at line 158 of file ctimer.c.
References etimer_expired(), list_head(), and NULL.
| void ctimer_init | ( | void | ) |
Initialize the callback timer library.
This function initializes the callback timer library and should be called from the system boot up code.
Definition at line 92 of file ctimer.c.
References list_init(), NULL, and process_start().
Referenced by main().
| void ctimer_reset | ( | struct ctimer * | c | ) |
Reset a callback timer with the same interval as was previously set.
| c | A pointer to the callback timer. |
This function resets the callback timer with the same interval that was given to the callback timer with the ctimer_set() function. The start point of the interval is the exact time that the callback timer last expired. Therefore, this function will cause the timer to be stable over time, unlike the ctimer_restart() function.
Definition at line 120 of file ctimer.c.
References etimer_reset(), list_add(), list_remove(), PROCESS_CONTEXT_BEGIN, and PROCESS_CONTEXT_END.
| void ctimer_restart | ( | struct ctimer * | c | ) |
Restart a callback timer from the current point in time.
| c | A pointer to the callback timer. |
This function restarts the callback timer with the same interval that was given to the ctimer_set() function. The callback timer will start at the current time.
Definition at line 133 of file ctimer.c.
References etimer_restart(), list_add(), list_remove(), PROCESS_CONTEXT_BEGIN, and PROCESS_CONTEXT_END.
| void ctimer_set | ( | struct ctimer * | c, |
| clock_time_t | t, | ||
| void(*)(void *) | f, | ||
| void * | ptr | ||
| ) |
Set a callback timer.
| c | A pointer to the callback timer. |
| t | The interval before the timer expires. |
| f | A function to be called when the timer expires. |
| ptr | An opaque pointer that will be supplied as an argument to the callback function. |
This function is used to set a callback timer for a time sometime in the future. When the callback timer expires, the callback function f will be called with ptr as argument.
Definition at line 100 of file ctimer.c.
References etimer_set(), list_add(), list_remove(), PROCESS_CONTEXT_BEGIN, PROCESS_CONTEXT_END, and PROCESS_CURRENT.
Referenced by ipolite_send(), packetqueue_enqueue_packetbuf(), polite_send(), and stbroadcast_set_timer().
| void ctimer_stop | ( | struct ctimer * | c | ) |
Stop a pending callback timer.
| c | A pointer to the pending callback timer. |
This function stops a callback timer that has previously been set with ctimer_set(), ctimer_reset(), or ctimer_restart(). After this function has been called, the callback timer will be expired and will not call the callback function.
Definition at line 146 of file ctimer.c.
References etimer_stop(), list_remove(), and NULL.
Referenced by ipolite_cancel(), ipolite_close(), packetqueue_dequeue(), polite_cancel(), polite_close(), and stbroadcast_cancel().


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public interface SecurityContext
Unless otherwise indicated, this type must be usable in all Jakarta EE containers, specifically the Jakarta Servlet and Jakarta Enterprise Beans containers.
| Modifier and Type | Method and Description |
|---|---|
AuthenticationStatus |
authenticate(HttpServletRequest request,
HttpServletResponse response,
AuthenticationParameters parameters)
Signal to the container (programmatically trigger) that it should start or continue a web/HTTP based authentication dialog with
the caller.
|
java.security.Principal |
getCallerPrincipal()
Retrieve the platform-specific
java.security.Principal that represents
the name of authenticated caller, or null if the current caller is not authenticated. |
<T extends java.security.Principal> |
getPrincipalsByType(java.lang.Class<T> pType)
Retrieve all Principals of the given type from the authenticated caller's Subject,
or an empty set if the current caller is not authenticated, or if the specified type
isn't found in the Subject.
|
boolean |
hasAccessToWebResource(java.lang.String resource,
java.lang.String... methods)
Checks whether the caller has access to the provided "web resource" using the given methods,
as specified by section 13.8 of the Servlet specification.
|
boolean |
isCallerInRole(java.lang.String role)
Checks whether the authenticated caller is included in the specified logical application "role".
|
java.security.Principal getCallerPrincipal()
java.security.Principal
that represents
the name of authenticated caller, or null if the current caller is not authenticated.<T extends java.security.Principal> java.util.Set<T> getPrincipalsByType(java.lang.Class<T> pType)
This can be used to retrieve application-specific Principals when the platform's representation of the caller uses a different principal type.
The returned Set is not backed by the Subject's internal Principal Set. A new Set is created and returned for each method invocation. Modifications to the returned Set will not affect the internal Principal Set.
T
- The actual type represented by the pType
argumentpType
- Class object representing the type of Principal to return.boolean isCallerInRole(java.lang.String role)
false
.
This method can not be used to test for roles that are mapped to specific named Jakarta Servlets or
named Jakarta Enterprise Beans. For a Servlet an example of this would be the role-name
nested in a
security-role-ref
element nested in a servlet
element in web.xml
.
Should code in either such Jakarta Servlet or Jakarta Enterprise Bean wish to take such mapped (aka referenced, linked)
roles into account, the facilities for that specific container should be used instead. For instance for Servlet that
would be HttpServletRequest.isUserInRole(String)
and for Jakarta Enterprise Beans that would be
EJBContext.isCallerInRole(String)
.
role
- a String
specifying the name of the logical application roletrue
if the authenticated caller is in the given role, false if the caller is not authentication or
is not in the given role.boolean hasAccessToWebResource(java.lang.String resource, java.lang.String... methods)
A caller has access if the web resource is either not protected (constrained), or when it is protected by a role and the caller is in that role.
resource
- the name of the web resource to test access for. This is a URLPatternSpec
that
identifies the application specific web resources to which the permission pertains. For a full specification of this
pattern see WebResourcePermission(String, String)
.methods
- one or more methods to check for whether the caller has access to the web resource using one of those methods.true
if the caller has access to the web resource using one of the given methods, false
otherwise.AuthenticationStatus authenticate(HttpServletRequest request, HttpServletResponse response, AuthenticationParameters parameters)
Programmatically triggering means that the container responds as if the caller had attempted to access a constrained resource
and acts by invoking a configured authentication mechanism (such as the HttpAuthenticationMechanism
).
Whether the authentication dialog is to be started or continued depends on the (logical) state of the authentication dialog. If
such dialog is currently in progress, a call to this method will continue it. If such dialog is not in progress a new one will be
started. A new dialog can be forced to be started regardless of one being in progress or not by providing a value of
true
for the AuthenticationParameters.newAuthentication
parameter with this call.
This method requires an HttpServletRequest
and HttpServletResponse
argument to be passed in, and
can therefore only be used in a valid Servlet context.
request
- The HttpServletRequest
associated with the current web resource invocation.response
- The HttpServletResponse
associated with the given HttpServletRequest
.parameters
- The parameters that are provided along with a programmatic authentication request, for instance the credentials.
collected by the application for continuing an authentication dialog.


Hello, my name is Rodrigo Alves, I’m a passionate front end
developer living in Lisbon, Portugal. I enjoy
working on projects that push me to learn more
about new tools and practices.
I have experience building custom html emails,
landing pages and responsive websites with frameworks
like Bootstrap or Foundation. I’ve worked with and built a
front end development workflow, ported from grunt to gulp,
which you can view on github here.
Apart from front end development, I also know a little
bit about design which helps me understand and communicate
better with a designer, to deliver a good reproduction of
their design.
You can view the repo for this website here.
I have experience with the Google Maps
Api and with ajax, to load dynamic
content from a web service.
I’ve used OOP concepts in JS and, more
recently, learned about treating JSON data
using Functional Programming in the book
Eloquent Javascript.
My experience with task runners and git’s version control system, help me integrate better into a new team or workflow.
My favorite app is sketch, I used it
to design this website!
(you can download the file here)
My main responsibilities where the development of custom html email templates, building responsive websites and porting the front end development workflow to gulp


Nice
The first stop on my international adventure was Nice, France. Ever since I took French in high school, I have wanted to visit this city. In pictures it looked absolutely beautiful, and the real thing did not disappoint. Every street we walked down felt old but comfortable, and every view of the city was absolutely picturesque. There were restaurants and cafes everywhere, plus a beautiful beach and sprawling marketplace. It was one of the most relaxed and comfortable cities I have ever been to (though that might have been because we walked around it on a Wednesday morning) and I really wish we had more time there. Here is the story of the time I did spend there.
Day 1
Our first day in Nice was also our first day in Europe, so we were pretty jetlagged. However, we still somehow managed to go eat at a nice French place (my dad hated French cooking, I wanted to convince him he was wrong).
I had a delicious plate of steak tartare, which I’ve never had before. While really good, I don’t think I will be ordering that again due to the texture of it. I also had a fantastic red wine that I forgot to get the name of. My mom had a flank steak that was the best cooked medium well steak I’ve ever had, and my dad had delicious cod with some sort of butter sauce and peas. Strangely (or at least I thought it was strange) all of our meals came with fries. Everything was fantastic though, and the host was extremely nice.
After that, we took a quick stroll down the Promenade d’Anglais, the main walking path next to the beach. The beach was gorgeous (though it wasn’t sand, it was a mixture of stone and pebbles) and we got to see it just as the sun was setting.
We walked home after that, as the tiredness was hitting us pretty hard at that point. I didn’t even need to turn on the air conditioning, I just opened the window and the fell straight to sleep.
Day 2
Waking up that next morning was amazing.
The sun was shining through the open window, the birds were chirping, and the air was cool and crisp. I was still a bit jetlagged from the previous day’s travels, but I still felt more relaxed than I had in a long time. Once I finally convinced myself to leave my bed I woke my parents up, and in a few minutes we left the apartment in pursuit of breakfast. We ended up stopping at the bakery down the street, and we had some delicious pastries. I had a pain au chocolat or chocolate pastry and my parents had similar things. My parents also had some of the best coffee I’ve ever tasted.
From there, we walked down the Promenade d’Anglais to Vieille Ville, or old Nice. The walk was beautiful in and of itself, but old Nice was incredibly beautiful.
It felt peaceful just walking around, and the narrow alleys and streets reminded me of Venice. It had the equivalent of a farmer’s market at the beginning where vendors were selling all sorts of fruits and vegetables. I got a box of raspberries and a box of cherries, and my parents purchased a neat oil painting. Overall, pretty awesome market.
After we hit up the market, we walked around a bit more and saw an absolutely beautiful church along with some of the main official buidlings of Nice. Also, we inadvertently climbed up to Colline du Chateau, or Castle Hill, which had some absolutely beautiful view. Climbing that hill was a pretty good workout, but it was totally worth it for the unobstructed view of Nice. The weather was also perfect, so we had a fantastic experience walking around the city.
Unfortunately, due to a cooking class in Florence the next day, that was all the time we were able to spend in Nice. I would go back in a heartbeat though, as it was a relaxing, carefree city full of spectacular views, delicous food, and friendly people.
Check out the rest of my Nice photos (the album isn’t organized well) here:


Before Change
// computed in parallel for every token in the batch.
mwe_encode = ExtractWindow(nW=1) >> Maxout(width, width*3, pieces=pieces)
embed = StaticVectors("en", width) + Embed(width, width, 5000)
// Comments indicate the output type and shape at each step of the pipeline.
// * B: Number of sentences in the batch
// * T: Total number of words in the batch
// (i.e. sum(len(sent) for sent in batch))
After Change
// computed in parallel for every token in the batch.
mwe_encode = ExtractWindow(nW=1) >> Maxout(width, width*3, pieces=pieces)
embed = StaticVectors("en", width) //+ Embed(width, width, 5000)
// Comments indicate the output type and shape at each step of the pipeline.
// * B: Number of sentences in the batch
// * T: Total number of words in the batch


| G_panel.number {lattice} | R Documentation |
Control over lattice plots are provided through a collection of user
specifiable functions that perform various tasks during the plotting.
Not all information is available to all functions. The functions
documented here attempt to provide a consistent interface to access
relevant information from within these user specified functions,
namely those specified as the panel
, strip
and
axis
functions. Note that this information is not available to
the prepanel
function, which is executed prior to the actual
plotting.
current.row(prefix) current.column(prefix) panel.number(prefix) packet.number(prefix) which.packet(prefix) trellis.currentLayout(which = c("packet", "panel"), prefix)
which |
whether return value (a matrix) should contain panel numbers or packet numbers, which are usually, but not necessarily, the same (see below for details). |
prefix |
A character string acting as a prefix identifying the plot of a
|
trellis.currentLayout
returns a matrix with as many rows and
columns as in the layout of panels in the current plot. Entries in
the matrix are integer indices indicating which packet (or panel; see
below) occupies that position, with 0 indicating the absence of a
panel. current.row
and current.column
return integer
indices specifying which row and column in the layout are currently
active. panel.number
returns an integer counting which panel
is being drawn (starting from 1 for the first panel, a.k.a. the panel
order). packet.number
gives the packet number according to the
packet order, which is determined by varying the first conditioning
variable the fastest, then the second, and so on. which.packet
returns the combination of levels of the conditioning variables in the
form of a numeric vector as long as the number of conditioning
variables, with each element an integer indexing the levels of the
corresponding variable.
The availability of these functions make redundant some features
available in earlier versions of lattice, namely optional arguments
called panel.number
and packet.number
that were made
available to panel
and strip
. If you have written such
functions, it should be enough to replace instances of
panel.number
and packet.number
by the corresponding
function calls. You should also remove panel.number
and
packet.number
from the argument list of your function to avoid
a warning.
If these accessor functions are not enough for your needs, feel free to contact the maintainer and ask for more.
Deepayan Sarkar Deepayan.Sarkar@R-project.org


Inherited Variables
Inherited Constants
Inherited Methods
Class Details
[ Top ]
Class Variables
$CompanyCode
[line 5]
Tags:
- access - public
Type: mixed
Overrides:
[ Top ]
$DocStatus
[line 10]
Tags:
- access - public
Type: mixed
Overrides:
[ Top ]
$EndDate
[line 9]
Tags:
- access - public
Type: mixed
Overrides:
[ Top ]
$LastDocId
[line 6]
Tags:
- access - public
Type: mixed
Overrides:
[ Top ]
$Reconciled
[line 7]
Tags:
- access - public
Type: mixed
Overrides:
[ Top ]
$StartDate
[line 8]
Tags:
- access - public
Type: mixed
Overrides:
[ Top ]


Dear Satya,
Password
length is restricted because of DB restrictions. While we write the
password in database, it is encrypted & written. This increases the
length & to be on the safer side we had limited the password length.
But by following the procedure
detailed below, you can increase the password character length.
JavaUI
Security
Administration is a Builder Project. In that, you can find the files
AdUserWiz.java
& ChangePwd.java
under
/projects/SecurityAdministration/Source.
You need to modify the lines ["if(passw.length() > 8)"]
that
checks for the password length. Instead of 8, you can put some higher
value. After making the change, compile the files and update the jar
AuthMain.jar which is under NMS_HOME/NetMonitor/build directory.
Also ensure to modify ChangePwd.java, the following
code snippet.(instead of 8 modify it to your requirement)
oldPassword.setDocument(new
LimitDocument(8));
Please
note that it is advisable to keep the length less than 20 characters in
order to make the encrypted password length within the limit of the
column width specified in the DatabaseSchema.conf file.
WebUI
In <NMS_HOME>\webclient\admin\jsp\AddUser.jsp
search for the format: webclient.admin.adduser.password
& webclient.admin.adduser.retypepassword and change the
corresponding textbox's length as the desired value.
In <NMS_HOME>\webclient\common\jsp\Login.jsp search
for the format
webclient.login.password and change the maxlength accordingly.
In <NMS_HOME>\webclient\admin\jsp\ModifyUserProfile.jsp
search for the following formats and change the
maxlength accordingly.
webclient.admin.modifyuserprofile.changepassword
webclient.admin.modifyuserprofile.newpassword
webclient.admin.modifyuserprofile.retypepassword
We believe that the attached images jsp1.JPG &
ModifyUserProfilejsp.JPG would help to achive your requirement.
Ensure to run <NMS_HOME>\bin\compileJSP.bat
after you do all these changes.
P.S In case, you want more than
that limit, please increase the column width for PASSWORD in UserPasswordTable in <NMS_HOME>\conf\DatabaseSchema.conf
for. If you do this, you need to reinitialize
the Web NMS and start it for effecting the change.
We had tested with random
values (from the
acceptable set of characters) for the password.
We found that for a given password length x the
encryped password could be of maximum length 2x.
So if you decide that the maximum password length
would be 50 kindly set the PASSWORD column width of UserPasswordTable
to 100.
We believe that this would
satisfy your requirement. Kindly get back to us for any further details
in this regard.
Thanks & regards
Venkatramanan


Class: Aws::EMR::Types::CreateStudioInput
| Relationships & Source Files | |
| Super Chains via Extension / Inclusion / Inheritance | |
|
Class Chain:
self,
Struct
|
|
|
Instance Chain:
self,
::Aws::Structure ,
Struct
|
|
| Inherits: |
Struct
|
| Defined in: | gems/aws-sdk-emr/lib/aws-sdk-emr/types.rb |
Overview
Constant Summary
Instance Attribute Summary
-
#auth_mode ⇒ String
rw
Specifies whether the
Studio
authenticates users using::Aws::IAM
or::Aws::IAM
Identity Center. - #default_s3_location ⇒ String rw
-
#description ⇒ String
rw
A detailed description of the Amazon EMR
Studio
. -
#engine_security_group_id ⇒ String
rw
The ID of the Amazon EMR
Studio
Engine security group. -
#idp_auth_url ⇒ String
rw
The authentication endpoint of your identity provider (IdP).
-
#idp_relay_state_parameter_name ⇒ String
rw
The name that your identity provider (IdP) uses for its
RelayState
parameter. -
#name ⇒ String
rw
A descriptive name for the Amazon EMR
Studio
. -
#service_role ⇒ String
rw
The IAM role that the Amazon EMR
Studio
assumes. -
#subnet_ids ⇒ Array<String>
rw
A list of subnet IDs to associate with the Amazon EMR
Studio
. -
#tags ⇒ Array<Types::Tag>
rw
A list of tags to associate with the Amazon EMR
Studio
. -
#user_role ⇒ String
rw
The IAM user role that users and groups assume when logged in to an Amazon EMR
Studio
. -
#vpc_id ⇒ String
rw
The ID of the Amazon Virtual Private Cloud (Amazon VPC) to associate with the
Studio
. -
#workspace_security_group_id ⇒ String
rw
The ID of the Amazon EMR
Studio
Workspace security group.
Instance Method Summary
::Aws::Structure
- Included
| #to_hash | Alias for Structure#to_h. |
Instance Attribute Details
#auth_mode ⇒ String
(rw)
Specifies whether the Studio
authenticates users using ::Aws::IAM
or ::Aws::IAM
Identity Center.
# File 'gems/aws-sdk-emr/lib/aws-sdk-emr/types.rb', line 1176
class CreateStudioInput < Struct.new( :name, :description, :auth_mode, :vpc_id, :subnet_ids, :service_role, :user_role, :workspace_security_group_id, :engine_security_group_id, :default_s3_location, :idp_auth_url, :idp_relay_state_parameter_name, : ) SENSITIVE = [] include Aws::Structure end
#default_s3_location ⇒ String
(rw)
[ GitHub ]
# File 'gems/aws-sdk-emr/lib/aws-sdk-emr/types.rb', line 1176
class CreateStudioInput < Struct.new( :name, :description, :auth_mode, :vpc_id, :subnet_ids, :service_role, :user_role, :workspace_security_group_id, :engine_security_group_id, :default_s3_location, :idp_auth_url, :idp_relay_state_parameter_name, : ) SENSITIVE = [] include Aws::Structure end
#description ⇒ String
(rw)
A detailed description of the Amazon EMR Studio
.
# File 'gems/aws-sdk-emr/lib/aws-sdk-emr/types.rb', line 1176
class CreateStudioInput < Struct.new( :name, :description, :auth_mode, :vpc_id, :subnet_ids, :service_role, :user_role, :workspace_security_group_id, :engine_security_group_id, :default_s3_location, :idp_auth_url, :idp_relay_state_parameter_name, : ) SENSITIVE = [] include Aws::Structure end
#engine_security_group_id ⇒ String
(rw)
The ID of the Amazon EMR Studio
Engine security group. The Engine
security group allows inbound network traffic from the Workspace
security group, and it must be in the same VPC specified by VpcId
.
# File 'gems/aws-sdk-emr/lib/aws-sdk-emr/types.rb', line 1176
class CreateStudioInput < Struct.new( :name, :description, :auth_mode, :vpc_id, :subnet_ids, :service_role, :user_role, :workspace_security_group_id, :engine_security_group_id, :default_s3_location, :idp_auth_url, :idp_relay_state_parameter_name, : ) SENSITIVE = [] include Aws::Structure end
#idp_auth_url ⇒ String
(rw)
The authentication endpoint of your identity provider (IdP). Specify
this value when you use ::Aws::IAM
authentication and want to let federated
users log in to a Studio
with the Studio
URL and credentials from
your IdP. Amazon EMR Studio
redirects users to this endpoint to
enter credentials.
# File 'gems/aws-sdk-emr/lib/aws-sdk-emr/types.rb', line 1176
class CreateStudioInput < Struct.new( :name, :description, :auth_mode, :vpc_id, :subnet_ids, :service_role, :user_role, :workspace_security_group_id, :engine_security_group_id, :default_s3_location, :idp_auth_url, :idp_relay_state_parameter_name, : ) SENSITIVE = [] include Aws::Structure end
#idp_relay_state_parameter_name ⇒ String
(rw)
The name that your identity provider (IdP) uses for its RelayState
parameter. For example, RelayState
or TargetSource
. Specify this
value when you use ::Aws::IAM
authentication and want to let federated
users log in to a Studio
using the Studio
URL. The RelayState
parameter differs by IdP.
# File 'gems/aws-sdk-emr/lib/aws-sdk-emr/types.rb', line 1176
class CreateStudioInput < Struct.new( :name, :description, :auth_mode, :vpc_id, :subnet_ids, :service_role, :user_role, :workspace_security_group_id, :engine_security_group_id, :default_s3_location, :idp_auth_url, :idp_relay_state_parameter_name, : ) SENSITIVE = [] include Aws::Structure end
#name ⇒ String
(rw)
A descriptive name for the Amazon EMR Studio
.
# File 'gems/aws-sdk-emr/lib/aws-sdk-emr/types.rb', line 1176
class CreateStudioInput < Struct.new( :name, :description, :auth_mode, :vpc_id, :subnet_ids, :service_role, :user_role, :workspace_security_group_id, :engine_security_group_id, :default_s3_location, :idp_auth_url, :idp_relay_state_parameter_name, : ) SENSITIVE = [] include Aws::Structure end
#service_role ⇒ String
(rw)
# File 'gems/aws-sdk-emr/lib/aws-sdk-emr/types.rb', line 1176
class CreateStudioInput < Struct.new( :name, :description, :auth_mode, :vpc_id, :subnet_ids, :service_role, :user_role, :workspace_security_group_id, :engine_security_group_id, :default_s3_location, :idp_auth_url, :idp_relay_state_parameter_name, : ) SENSITIVE = [] include Aws::Structure end
#subnet_ids ⇒ Array
<String
> (rw)
# File 'gems/aws-sdk-emr/lib/aws-sdk-emr/types.rb', line 1176
class CreateStudioInput < Struct.new( :name, :description, :auth_mode, :vpc_id, :subnet_ids, :service_role, :user_role, :workspace_security_group_id, :engine_security_group_id, :default_s3_location, :idp_auth_url, :idp_relay_state_parameter_name, : ) SENSITIVE = [] include Aws::Structure end
#tags ⇒ Array
<Types::Tag> (rw)
A list of tags to associate with the Amazon EMR Studio
. Tags are
user-defined key-value pairs that consist of a required key string
with a maximum of 128 characters, and an optional value string with
a maximum of 256 characters.
# File 'gems/aws-sdk-emr/lib/aws-sdk-emr/types.rb', line 1176
class CreateStudioInput < Struct.new( :name, :description, :auth_mode, :vpc_id, :subnet_ids, :service_role, :user_role, :workspace_security_group_id, :engine_security_group_id, :default_s3_location, :idp_auth_url, :idp_relay_state_parameter_name, : ) SENSITIVE = [] include Aws::Structure end
#user_role ⇒ String
(rw)
The IAM user role that users and groups assume when logged in to an
Amazon EMR Studio
. Only specify a UserRole
when you use ::Aws::IAM
Identity Center authentication. The permissions attached to the
UserRole
can be scoped down for each user or group using session
policies.
# File 'gems/aws-sdk-emr/lib/aws-sdk-emr/types.rb', line 1176
class CreateStudioInput < Struct.new( :name, :description, :auth_mode, :vpc_id, :subnet_ids, :service_role, :user_role, :workspace_security_group_id, :engine_security_group_id, :default_s3_location, :idp_auth_url, :idp_relay_state_parameter_name, : ) SENSITIVE = [] include Aws::Structure end
#vpc_id ⇒ String
(rw)
The ID of the Amazon Virtual Private Cloud (Amazon VPC) to associate
with the Studio
.
# File 'gems/aws-sdk-emr/lib/aws-sdk-emr/types.rb', line 1176
class CreateStudioInput < Struct.new( :name, :description, :auth_mode, :vpc_id, :subnet_ids, :service_role, :user_role, :workspace_security_group_id, :engine_security_group_id, :default_s3_location, :idp_auth_url, :idp_relay_state_parameter_name, : ) SENSITIVE = [] include Aws::Structure end
#workspace_security_group_id ⇒ String
(rw)
The ID of the Amazon EMR Studio
Workspace security group. The
Workspace security group allows outbound network traffic to
resources in the Engine security group, and it must be in the same
VPC specified by VpcId
.
# File 'gems/aws-sdk-emr/lib/aws-sdk-emr/types.rb', line 1176
class CreateStudioInput < Struct.new( :name, :description, :auth_mode, :vpc_id, :subnet_ids, :service_role, :user_role, :workspace_security_group_id, :engine_security_group_id, :default_s3_location, :idp_auth_url, :idp_relay_state_parameter_name, : ) SENSITIVE = [] include Aws::Structure end


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| Trees | Indices | Toggle frames |
|---|
Simple displayable text.
This is a convenience class for rendering strings of text. It takes care of caching the vertices so the text can be rendered every frame with little performance penalty.
Text can be word-wrapped by specifying a width to wrap into. If the width is not specified, it gives the width of the text as laid out.
Deprecated: Use pyglet.text.Label.
__init__(self,
font,
text='
' ,
x=0,
y=0,
z=0,
color=( 1, 1, 1, 1) ,
width=None,
halign=' left ' ,
valign=' baseline ' )
Create displayable text.
|
|
| draw(self) |
| font | |
| color | |
| z | |
| float |
width
Width of the text.
|
| float |
height
Height of the text.
|
| str |
text
Text to render.
|
| str |
halign
Horizontal alignment of the text.
|
| str |
valign
Vertical alignment of the text.
|
| int |
leading
Vertical space between adjacent lines, in pixels.
|
| int |
line_height
Vertical distance between adjacent baselines, in pixels.
|
| int |
x
X coordinate of the text
|
| int |
y
Y coordinate of the text
|
'
'
,
x=0,
y=0,
z=0,
color=(
1,
1,
1,
1)
,
width=None,
halign='
left
'
,
valign='
baseline
'
)
Width of the text.
When set, this enables word-wrapping to the specified width. Otherwise, the width of the text as it will be rendered can be determined.
Height of the text.
This property is the ascent minus the descent of the font, unless there is more than one line of word-wrapped text, in which case the height takes into account the line leading. Read-only.
Text to render.
The glyph vertices are only recalculated as needed, so multiple changes to the text can be performed with no performance penalty.
| Trees | Indices | Toggle frames |
|---|
| Generated by Epydoc 3.0beta1 on Sun Mar 22 20:15:39 2009 | http://epydoc.sourceforge.net |


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